Senior People Data Scientist

Responsibilities

• Evolve the enterprise people analytics agenda across key domains including organizational health, performance, and hiring
• Lead high-stakes, enterprise-wide projects such as retention driver analysis, people survey implementation, organizational health metrics, engagement survey insights, and AI integration in analysis workflows
• Design and mature self-serve people data products including dashboards, standardized views, and metric layers that scale across HR and the business
• Own data warehousing and data architecture decisions spanning data ingestion, ETL/ELT processes, BI tools, and LLMs
• Bring analytical rigor to enterprise People programs by defining success metrics, segmenting impact, and recommending changes based on evidence
• Apply advanced methods including predictive attrition models, cohort/survival analysis, and causal frameworks to evaluate program effectiveness
• Partner with HRBPs, People leaders, and analysts on data literacy, metric interpretation, and responsible use of HR data
• Champion data governance, privacy, and role-based access across Workday, Snowflake, BI tools, and Qualtrics

Requirements

• 5+ years of experience in analytics, data science, or business intelligence, with at least 2–3+ years in People Analytics / HR data
• Experience designing and maintaining executive-facing dashboards and data products in BI tools (e.g., OneModel, Tableau, Looker)
• Advanced proficiency in SQL and experience with Snowflake or similar cloud data warehouses
• Ability to translate complex analytical findings into clear stories and actionable insights for HR/business leaders
• Expertise in multivariate analysis including regression models, comparison testing, and NLP applied to large-scale text data
• Strong foundation in research methodology and psychometrics for designing, validating, and interpreting survey instruments
• Experience handling sensitive HR data with strong judgment around privacy and security
• Bachelor's degree in Statistics, Economics, Data Science, Industrial/Organizational Psychology, Computer Science, or equivalent practical experience

Nice-to-Haves

• Experience moving a People Analytics function from ad-hoc reporting to scalable, self-serve analytics
• Depth with Workday, Greenhouse, OneModel, or Qualtrics
• Experience designing and analyzing employee survey programs including segmentation and action-planning support
• Background in fast-paced, high-growth, or public-company environments
• Master's degree in a quantitative field